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Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes.
Laville, Vincent; Kang, Jae H; Cousins, Clara C; Iglesias, Adriana I; Nagy, Réka; Cooke Bailey, Jessica N; Igo, Robert P; Song, Yeunjoo E; Chasman, Daniel I; Christen, William G; Kraft, Peter; Rosner, Bernard A; Hu, Frank; Wilson, James F; Gharahkhani, Puya; Hewitt, Alex W; Mackey, David A; Hysi, Pirro G; Hammond, Christopher J; vanDuijn, Cornelia M; Haines, Jonathan L; Vitart, Veronique; Fingert, John H; Hauser, Michael A; Aschard, Hugues; Wiggs, Janey L; Khawaja, Anthony P; MacGregor, Stuart; Pasquale, Louis R.
Afiliação
  • Laville V; Department of Computational Biology, Institut Pasteur, Paris, France.
  • Kang JH; Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Cousins CC; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts, USA.
  • Iglesias AI; Departments of Ophthalmology and Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands.
  • Nagy R; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
  • Cooke Bailey JN; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
  • Igo RP; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
  • Song YE; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
  • Chasman DI; Division of Preventive Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Christen WG; Division of Preventive Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Kraft P; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA.
  • Rosner BA; Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA.
  • Hu F; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA; Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA.
  • Wilson JF; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom; Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
  • Gharahkhani P; Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Hewitt AW; Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia; School of Medicine, Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
  • Mackey DA; Lions Eye Institute, Centre for Ophthalmology and Visual Science, University of Western Australia, Perth, Western Australia, Australia.
  • Hysi PG; Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom.
  • Hammond CJ; Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom.
  • vanDuijn CM; Departments of Ophthalmology and Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands; Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
  • Haines JL; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
  • Vitart V; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
  • Fingert JH; Department of Ophthalmology and Visual Science, University of Iowa, Iowa City, Iowa, USA.
  • Hauser MA; Departments of Ophthalmology and Medicine, Duke University, Durham, North Carolina, USA.
  • Aschard H; Department of Computational Biology, Institut Pasteur, Paris, France; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, Massachusetts, USA.
  • Wiggs JL; Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts, USA.
  • Khawaja AP; Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
  • MacGregor S; Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
  • Pasquale LR; Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address: Louis.Pasquale@mssm.edu.
Am J Ophthalmol ; 206: 245-255, 2019 10.
Article em En | MEDLINE | ID: mdl-31121135
PURPOSE: A genetic correlation is the proportion of phenotypic variance between traits that is shared on a genetic basis. Here we explore genetic correlations between diabetes- and glaucoma-related traits. DESIGN: Cross-sectional study. METHODS: We assembled genome-wide association study summary statistics from European-derived participants regarding diabetes-related traits like fasting blood sugar (FBS) and type 2 diabetes (T2D) and glaucoma-related traits (intraocular pressure [IOP], central corneal thickness [CCT], corneal hysteresis [CH], corneal resistance factor [CRF], cup-to-disc ratio [CDR], and primary open-angle glaucoma [POAG]). We included data from the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database, the UK Biobank, and the International Glaucoma Genetics Consortium. We calculated genetic correlation (rg) between traits using linkage disequilibrium score regression. We also calculated genetic correlations between IOP, CCT, and select diabetes-related traits based on individual level phenotype data in 2 Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines. RESULTS: Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (rg = -0.14; P = .16). Using Sequential Oligogenic Linkage Analysis Routines, the genetic correlations between measured IOP, CCT, FBS, fasting insulin, and hemoglobin A1c were null. In contrast, genetic correlations between IOP and POAG (rg ≥ 0.45; P ≤ 3.0 × 10-4) and between CDR and POAG were high (rg = 0.57; P = 2.8 × 10-10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rg range -0.18 to 0.11) and nonsignificant (P ≥ .07). CONCLUSION: These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glaucoma de Ângulo Aberto / Diabetes Mellitus Tipo 2 / Estudo de Associação Genômica Ampla / Pressão Intraocular Tipo de estudo: Clinical_trials / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte / Europa Idioma: En Revista: Am J Ophthalmol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glaucoma de Ângulo Aberto / Diabetes Mellitus Tipo 2 / Estudo de Associação Genômica Ampla / Pressão Intraocular Tipo de estudo: Clinical_trials / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte / Europa Idioma: En Revista: Am J Ophthalmol Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França